Triple

T10980978
Position Surface form Disambiguated ID Type / Status
Subject Von Miller E259503 entity
Predicate givenName P17 FINISHED
Object Vonnie
Vonnie is the given first name of Von Miller, the prominent American football linebacker and Super Bowl MVP.
 E897127 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vonnie | Statement: [Von Miller, givenName, Vonnie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vonnie
Context triple: [Von Miller, givenName, Vonnie]
  • A. Vickie
    Vickie is the birth name of American model, actress, and television personality Anna Nicole Smith, who became famous as a Playboy Playmate and pop culture figure.
  • B. Vicki
    Vicki is a character in Helen Garner’s novella "The Children’s Bach," involved in the intricate emotional and domestic dynamics at the story’s center.
  • C. Vicki
    Vicki is a young companion of the First Doctor in the classic British science fiction television series Doctor Who.
  • D. LaVonne
    LaVonne is a feminine given name of French origin, derived from "Lavonne" and related to "Yvonne," meaning "yew" or "archer."
  • E. Yvonne
    Yvonne is a central comedic protagonist in the 1967 British satirical film "Smashing Time," known for her misadventures in swinging London.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vonnie
Triple: [Von Miller, givenName, Vonnie]
Generated description
Vonnie is the given first name of Von Miller, the prominent American football linebacker and Super Bowl MVP.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vonnie
Target entity description: Vonnie is the given first name of Von Miller, the prominent American football linebacker and Super Bowl MVP.
  • A. Vickie
    Vickie is the birth name of American model, actress, and television personality Anna Nicole Smith, who became famous as a Playboy Playmate and pop culture figure.
  • B. Vicki
    Vicki is a character in Helen Garner’s novella "The Children’s Bach," involved in the intricate emotional and domestic dynamics at the story’s center.
  • C. Vicki
    Vicki is a young companion of the First Doctor in the classic British science fiction television series Doctor Who.
  • D. LaVonne
    LaVonne is a feminine given name of French origin, derived from "Lavonne" and related to "Yvonne," meaning "yew" or "archer."
  • E. Yvonne
    Yvonne is a central comedic protagonist in the 1967 British satirical film "Smashing Time," known for her misadventures in swinging London.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ea940c8190ab3e62e89244f954 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7cb8fe08190b9de7b970968da48 completed April 18, 2026, 1 a.m.
NEDg Description generation batch_69e2ff211ae88190a40380cd25a61812 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e32634397481908284c04448274b25 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.